This is the first of a three-part series on change management. In this blog, I’ll try to answer the question, “What is change management?” from both a process and a benefits (or use-case) perspective.
In the second installment, I’ll address best practices for both planning for and measuring the success of change management initiatives. I’ll also examine some of the issues that EMA has seen arise when IT organizations try to establish a more cohesive cross-domain approach to managing change. In part three, I’ll focus on the impacts of cloud, agile, and mobile, including the growing need for investments in automation and analytics to make change management more effective.
Change Management Processes
Like many words and concepts in English language, especially when applied to technology, “change management” carries with it a wide variety of associations. In terms of the processes established in the IT Infrastructure Library (ITIL), change management is best understood as a strategic approach to planning for change.
ITIL defines change management succinctly as, “the process responsible for controlling the lifecycle of all changes, enabling beneficial changes to be made with minimum disruption to IT Services.” As such, change management is a logical system of governance that addresses a set of relevant questions, which include the following:
■ Who requested the change?
■ What is the reason for the change?
■ What is the desired result of the change?
■ What are the risks involved with making the change?
■ What resources are required to deliver the change?
■ Who is responsible for the build, test, and implementation of the change?
■ What is the relationship between this change and other changes?
But this system of governance doesn’t stand alone. Actually implementing and managing changes requires attention to other ITIL processes. These include (but are not limited to):
■ Service asset and configuration management (SACM) – “The process responsible for maintaining information about configuration items required to deliver an IT Service, including their relationships.” SACM addresses how IT hardware and software assets (including applications) have been configured and, even more critically, identifies the relationships and interdependencies affecting infrastructure and application assets.
■ Release and deployment management – “The process responsible for planning, scheduling and controlling the build, test and deployment of releases, and for delivering new functionality required by the business while protecting the integrity of existing services.” As you can imagine, release management and automation should go hand in hand.
There are other ITIL processes relevant to managing change effectively, including capacity management, problem management, availability management, and continual service improvement, just to name a few. From just this brief snapshot, you might get the (correct) impression that change management in the “big picture” is at the very heart of effective IT operations. If done correctly, change management touches all of IT—including the service desk, operational teams, development, the executive suite, and even non-IT service consumers. This central position makes change management both an opportunity and a challenge.
Change Management Use Cases
Probably the best way to understand the “change management opportunity” is to look at some of the use cases affiliated with it. Effective change management can empower a wide range of other initiatives, from lifecycle asset management to DevOps, service impact management, and improved service performance. EMA consultants have estimated that more than 60% of IT service disruptions come from the impacts of changes made across the application infrastructure—and this estimate is conservative compared to some of the other industry estimates I’ve seen. Having good change management processes and technologies in place is also a foundation for better automation, as well as for better optimization of both public and private cloud resources. And the list goes on.
Even the list below, derived in large part from CMDB Systems: Making Change Work in the Age of Cloud and Agile, is a partial one, but it should provide a useful departure point for your planning—as you seek to prioritize the use case(s) most relevant to you.
■ Governance and compliance: Managing change to conform with critical industry, security, and asset-related requirements for compliance, while minimizing change-related disruptions. This, can provide significant financial benefits including OpEx savings, superior service availability, improved security and savings from avoiding the penalty costs incurred when changes are made poorly.
■ Data center consolidation—mergers and acquisitions: Planning new options for data center consolidation is definitely on the rise, and mergers and acquisitions often lead to data center consolidation initiatives. Effective change management can shorten consolidation time, minimize costs, and improve the quality of the outcome.
■ Disaster recovery – Disaster recovery initiatives may be an extension of data center consolidation, or they may be independent. Automating change for disaster recovery is one of the more common drivers for a more systemic approach to change management.
■ The proverbial “move to cloud” – The stunning rise of virtualization and the persistent move to assimilate both internal and public cloud options make change impact management and effective change automation essential.
■ Facilities management and Green IT – This use case requires dynamic insights into both configuration and “performance”-related attributes for configuration items (CIs), both internal to IT (servers, switches, desktops, etc.) and external to traditional IT boundaries (facilities, power, etc.).
■ Optimizing the end-user experience across heterogeneous endpoints – Meeting the challenges of unified endpoint management including mobile endpoints, requires a flexible adoption of change management best practices and automation. But the benefits of doing this can be significant—impacting asset management, security, and financial optimization, while increasing end-user satisfaction with IT services.
We all know artificial intelligence (AI) is a hot topic — but beyond the buzzword, have you ever wondered how IT departments are actually adopting AI technologies to improve on their operations? ...
How can IT teams focus on the critical events that can impact their business instead of wading through false positives? The emerging discipline of AIOps is a much-needed panacea for detecting patterns, identifying anomalies, and making sense of alerts across hybrid infrastructure ...
In a recent webinar AIOps and IT Analytics at the Crossroads, I was asked several times about the borderline between AIOps and monitoring tools — most particularly application performance monitoring (APM) capabilities. The general direction of the questions was — how are they different? Do you need AIOps if you have APM already? Why should I invest in both? ...
There's no place like the web and smartphones for the holidays. With the biggest shopping season of the year quickly approaching, retailers are gearing up to experience the most traffic their online platforms (web, mobile, IoT) have ever seen. To avoid missing out on millions this holiday season, below are the top five ways developers can keep their apps and websites up and running without a hitch ...
Usage data is multifaceted, with many diverse benefits. Harvesting usage-driven insights effectively requires both good foundational technology and a nimbleness of mind to unify insights across IT's many silos of domains and disciplines. Because of this, leveraging usage-driven insights can in itself become a catalyst for helping IT as a whole transform toward improved efficiencies and enhanced levels of business alignment ...
The requirements to maintain the complete availability and superior performance of your mission-critical workloads is a dynamic process that has never been more challenging. Here are five ways IT teams can measure and guarantee performance-based SLAs in order to increase the value of the infrastructure to the business, and ensure optimal digital performance levels ...
APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 5, the final installment, offers some recommendations you may not have thought about ...
APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 4 covers the infrastructure, including the cloud and the network ...
APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 3 covers the development side ...
APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 2 covers key performance metrics like availability and response time ...